An algorithm based on Newton’s Method is proposed for action selection in continuous stateand action-space reinforcement learning without a policy network or discretization. The proposed method is validated on two benchmark problems: Cart-Pole and double Cart-Pole on which the proposed method achieves comparable or improved performance with less parameters to tune and in less training episodes ...

With the development of urbanization, hourly PM2.5 concentration in air is constantly changing. In order to improve accuracy prediction, a prediction model based on Classification and Regression Tree (CART) Broad Learning System (BLS) was constructed. Firstly, CART algorithm used segment dataset hierarchical way obtain subset with similar characteristics. Secondly, BLS trained by using data eac...

We present CART HAGENE a new piece of software for genetic mapping. Compared to existing genetic mapping softwares, CART HAGENE has both strengths and weaknesses. The most important weakness is certainly its actual limitation to backcross-like pedigree. However, when CART HAGENE applies, it is able to order markers and produce maximum multipoint likelihood marker maps with a large number of mar...

Decision trees have been widely used in data mining andmachine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction with ACO algorithms remains an almost unexplored research area. In this paper we propose a novel ACO algorithm to induce decision trees, combini...

On 5 October 1999, near London Paddington Station, two trains collided on a main line near Ladbroke Grove. The immediate "human error" that preceded this crash was a Signal Passed At Danger (SPAD). Thirty-one people lost their lives and many more were injured. The crash prompted an extensive multi-disciplinary investigation and hearing to identify the factors that contributed to the Signal Pass...

The aim of this study was to estimate suspended sediment by the ANN model, DT with CART algorithm and different types of SRC, in ten stations from the Lorestan Province of Iran. The results showed that the accuracy of ANN with Levenberg-Marquardt back propagation algorithm is more than the two other models, especially in high discharges. Comparison of different intervals in models showed that r...

This article presents a lightweight Byzantine fault tolerance (BFT) framework for session-oriented multi-tiered applications. We conclude that it is sufficient to use a lightweight BFT algorithm instead of a traditional BFT algorithm, based on a comprehensive study of the threat model to, and the state model of, the session-oriented multi-tiered applications. The lightweight BFT algorithm uses ...

Abstract Wart is a disease caused by human papillomavirus with common and plantar warts as general forms. Commonly used methods to treat are immunotherapy cryotherapy. The selection of proper treatment vital cure warts. This paper establishes classification regression tree (CART) model based on particle swarm optimisation help patients choose between proposed can accurately predict the response...